31 citations · 75 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 14 cited
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates, Benjamin Irving, Bostjan Markelc +4
Vasculature is known to be of key biological significance, especially in the study of cancer. As such, considerable effort has been focused on the automated measurement and analysi…
cs.CV2016★ 30 cited
maskSLIC: Regional Superpixel Generation with Application to Local Pathology Characterisation in Medical Images
Benjamin Irving
Supervoxel methods such as Simple Linear Iterative Clustering (SLIC) are an effective technique for partitioning an image or volume into locally similar regions, and are a common b…
cs.CV2016★ 31 cited
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation
Benjamin Irving, James M Franklin, Bartlomiej W Papiez +5
Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging task, and an automated and consistent method would be highly desirable to improve the modelli…